Apriori改进算法及其在电网运营数据关联性测算研究  

Research on relative data relativity of the operation of power grid enterprise based on Apriori improved algorithm

作　　者：夏洪涛[1] 施永益[1] 宋国超 

机构地区：[1]国网浙江省电力公司,浙江杭州310073

出　　处：《电力科技与环保》2017年第6期58-60,共3页Electric Power Technology and Environmental Protection

基　　金：国家电网浙江省电力公司科技项目(5211JY15001V);国家电网公司科技项目(5211011600RJ)

摘　　要：针对传统关联性分析Apriori算法需要频繁扫描数据库的缺陷,提出一种改进型Apriori算法,只需对数据库进行一次扫描,有效提高了计算效率。针对电网企业运营状况评价标准,将所得数据分为结果型数据和驱动型数据,采用关联算法计算结果型数据和驱动型数据的关联关系,并采用传统皮尔逊系数验证分析结果。试验结果证明本算法可以有效得出对结果型数据影响较大的数据,有助于对企业运营状况进行管理和决策。Propose an improved Apriori algorithm, only a scan of the database, effectively improve the computa- tional efficiency, for the traditional Apriori algorithm requires frequent scanning of the database defects. Accord- ing to the evaluation standard of the operation status of the grid enterprise, the obtained data is divided into the result data and the driving data, and the correlation relation between the result data and the driving data is cal- culated by the proposed algorithm, and the traditional Pearson coefficient is used to verify the analysis result. The experimental results show that the proposed algorithm can effectively obtain the data which has great influ- ence on the result data, which can help to manage and make the operation of the enterprise.

关 键 词：关联分析 电网企业运营 数据挖掘 APRIORI算法 

分 类 号：TM933[电气工程—电力电子与电力传动]